Update app.py

app.py

@@ -1,30 +1,38 @@
 import gradio as gr
 from gradio_client import Client, handle_file
 import PIL.Image
+import re
 
 # Connect to the verified IC-Light engine
 client = Client("lllyasviel/IC-Light") # cite: 5.3
 
 def dynamic_relight(image, prompt, lighting_choice, *slider_values):
-    # 1. Your unique weighted prompt logic
-    features = ["cinematic", "detailed", "texture", "focus"]
-    weighted_parts = []
-    for i, feature in enumerate(features):
-        weight = slider_values[i] / 50 
-        weighted_parts.append(f"({feature}:{weight:.1f})")
+    # 1. Map Sliders to Prompt Keywords (Your unique feature)
+    keywords = ["cinematic", "detailed", "texture", "focus"]
+    weighted_prompt = prompt
+    for i, word in enumerate(keywords):
+        if i < len(slider_values):
+            weight = slider_values[i] / 50.0 
+            weighted_prompt += f", ({word}:{weight:.1f})"
     
-    final_prompt = f"{prompt}, " + ", ".join(weighted_parts)
-    
-    # 2. ACCURATE client.predict call
-    # We use fn_index=1 to bypass the missing api_name error
-    # This is the most stable way to call complex remote Spaces
-    result = client.predict(
-        handle_file(image),         # input_fg 
-        final_prompt,               # prompt
-        "Appearance Variation",      # image_relation
-        lighting_choice,            # lighting_preference
-        fn_index=1                  # Use numerical index for stability
-    )
+    # 2. Use the correct positional order as defined by IC-Light
+    # For IC-Light, the order is typically: image, prompt, relation, preference
+    try:
+        result = client.predict(
+            input_fg=handle_file(image),
+            prompt=weighted_prompt,
+            image_relation="Appearance Variation",
+            lighting_preference=lighting_choice,
+            api_name="/relight" # Attempting named API first
+        )
+    except Exception:
+        # Fallback to positional arguments if named API fails
+        result = client.predict(
+            handle_file(image), 
+            weighted_prompt,
+            "Appearance Variation",
+            lighting_choice
+        )
     
     return result[0]